arXiv subjects

Tomio Miwa

Publications and source records attributed to Tomio Miwa.

3 recordsLinked to original sources

arXiv2026

Spatial Activity Opportunity Fairness among Elderly Residents in Nagoya: A Comparative Analysis across Three Wards with Different Rent Levels

Population aging has made the daily mobility of older adults an increasingly important issue for urban planning and transport research. While previous studies have examined elderly mobility in relation to accessibility, active aging, and transport inclusion, less attention has been paid to whether older adults living in different residential contexts experience equal spatial activity opportunities. This study addresses that gap by comparing elderly residents in three wards of Nagoya, namely Naka, Showa, and Moriyama, which represent different rent levels and urban opportunity contexts. Using stay events derived from GPS-based mobility data, we construct a 500 m x 500 m grid-based analytical framework and examine spatial activity opportunity fairness through four dimensions: activity space, opportunity context, opportunity exposure, and semantic structure. The results show clear inter-group differences. Naka residents display the strongest concentration in the urban core, Showa residents occupy an intermediate position, and Moriyama residents exhibit a more dispersed and corridor-oriented pattern. Citywide semantic opportunities are unevenly distributed and concentrated around the urban core. Event-level exposure also shows a clear gradient, with Naka residents encountering the highest opportunity density, followed by Showa and Moriyama. Category-specific analysis further reveals that Naka residents are more strongly embedded in Retail/Service and Food/Drink opportunity structures, whereas Showa and Moriyama show relatively stronger Transit-related components. These findings suggest that spatial activity opportunity inequality among elderly residents is not one-dimensional, but multi-dimensional and category-specific. The paper contributes an event-based perspective for examining experienced urban opportunity inequality under differentiated residential contexts.

physics.soc-ph↗

arXiv2026

Rhythm-consistent semi-Markov simulation of tourist mobility rhythms with probabilistic event-to-POI assignment: Hakone, Japan

Understanding the timing and sequencing of activity participation in tourist mobility is central to travel behavior research, yet GPS trajectories are noisy, irregularly sampled, and only weakly linked to activity locations, which limits interpretation and scenario analysis. We address this by mapping each stay event to candidate points of interest (POIs) probabilistically, using explicit prior-likelihood weighting that yields a normalized compatibility distribution rather than hard matching. Using one month of high-density tourist trajectories in Hakone, Japan (November 2021), we construct semantic stay-event sequences based on observed place-category labels (MID10) and describe mobility rhythms through hour-by-category profiles, category transitions, and expected dwell patterns. Building on these rhythm signatures, we develop a rhythm-consistent semi-Markov simulator that generates synthetic stay-event sequences with time-conditioned transitions and category-dependent dwell behavior. In the observed data, hour-by-category summaries are computed by probability-weighted aggregation over soft labels; in simulation, each event is generated with a discrete category and a sampled dwell duration, enabling like-for-like comparison after aggregation. We further conduct counterfactual POI-inventory scenarios to quantify how hypothetical POI configuration changes shift stay intensity across time, categories, and space, particularly around hubs and main corridors. Observed-simulated comparisons show close agreement in temporal profiles and category distributions, indicating that probabilistic labeling and rhythm-consistent simulation preserve key mobility structure while providing an interpretable basis for transport-geography scenario evaluation.

cs.CY↗

arXiv2023

Jointly optimization of passenger-route assignment and transfer incentivization scheme for a customized modular bus system

As an emerging travel mode, the modular vehicle system (MVS) is receiving increasing attention. In particular, the operators could connect multiple modular vehicles as an assembled bus in response to the temporary demand varies. Therefore, in this study, the MVS is adopted in the context of customized bus design to satisfy passengers reserved travel demand. In addition, to increase the potential of the customized modular bus system, the transfer among buses can be considered to group the passengers with the same or close destinations. However, the passengers will not actively transfer as it is viewed as a disutility. Thus, the appropriate incentivization should be provided. To this end, we jointly optimize the passenger-route assignment and the transfer incentivization scheme, in which the transfer demand is considered elastically under different incentivization. Then, the linearization approaches are adopted to transform the original nonlinear model into a mixed integer linear programming model, which can be solved by state-of-the-art solvers. The experiment on the small network reveals that the performance of the bus system with an incentivization scheme is better than that without an incentivization scheme, and the extent of such superiority depends on the total demand level in the system.

math.OC↗